11.07.2015 Views

Modélisation de l'écoulement diphasique dans les injecteurs Diesel

Modélisation de l'écoulement diphasique dans les injecteurs Diesel

Modélisation de l'écoulement diphasique dans les injecteurs Diesel

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Cavitation mo<strong>de</strong>llingUp-to-date spray mo<strong>de</strong>ls donot take in account the non-stationary conditionsat the nozzle exit, because of the lack of knowledgeof nozzle exit conditions. As experimental investigationsare hardly possible in the injectors, themo<strong>de</strong>lling tool is the solution to know those conditions.Several two-phase mo<strong>de</strong>l types exist, <strong>de</strong>pendingon flow conditions. Floryan and Rasmussen [43]have ma<strong>de</strong> a very good review of the existing mo<strong>de</strong>ls.We have seen the main characteristics of theflow, allowing us to choose the appropriate methods.We have classified the mo<strong>de</strong>ls in two families :the interface tracking and capturing methods, andthe others, i.e. methods that do not take in accountthe interface location.Interface is explicitely <strong>de</strong>fined by the mo<strong>de</strong>l• For interface tracking [44], interface is explicitely<strong>de</strong>fined and advected by the flow. The interface is<strong>de</strong>fined by markers which form a moving boundary,and an interpolation between these points isma<strong>de</strong> to represent the physical boundary. At eachtime step, the information concerning the markers(their location, their sequence) is stored. The advantageof this method is the access to sub-grid sca<strong>les</strong>tructures. But this needs a big storage capacity.The main drawback is the points repartition on theboundary, i.e. several segments can be representedwith a lot of points, whereas others can be verybadly represented. Furthermore, in case of coa<strong>les</strong>cenceor fragmentation, markers must be ad<strong>de</strong>d orremoved. The best way to manage this has not beenfound yet.• Front capturing methods consist in <strong>de</strong>finingexplicitely the interface by a volumic function. Theinterface is not represented but re-built. The mostused is the Volume of Fluid (VOF) method [45, 46,47, 48, 49, 50]. The principle is to represent for eachcell the volumic fraction by a function c(t,x) whichis singular at the interface :c(t,x) = 1 for the phase 1,c(t,x) = 0 for the phase 2.(2)In this method, a set of Navier-Stokes equationsis solved while the <strong>de</strong>nsity of the fluid varies fromliquid to vapour <strong>de</strong>nsities, as following :ρ(t,x) = c(t,x)ρ 1 + (1 − c(t,x))ρ 2 (3)The vapour and the liquid are consi<strong>de</strong>red as incompressible.As we have seen, the interface is re-builtgeometrically. To keep a good accuracy, a lot ofcells are nee<strong>de</strong>d to <strong>de</strong>termine the interface location.Furthermore, Topological changes like coa<strong>les</strong>cenceor fragmentation are hardly performed, exceptwith a very good spatial resolution. Typically,10 cells must be assigned to <strong>de</strong>fine a bubble diameter[51]. Consi<strong>de</strong>ring small bubb<strong>les</strong> whose diameteris approximately 5µm, the 3D computational gridcontains almost 200 million cells for a typical-sizedsingle-holed nozzle. As we have seen that the flowis tridimensional and that we have to compute inthe whole injector, the grid will reach more than 1billion cells for a five-holed injector.• By the same way, the Level Set method [52, 44]consists in <strong>de</strong>fining a continuous and “sufficiently”regular function which is <strong>de</strong>fined as :Φ (t,x) > 0 for the phase 1,Φ (t,x) < 0 for the phase 2,Φ (t,x) = 0 at the interface.The mixture <strong>de</strong>nsity is given by :(4)ρ(Φ ) = ρ g + (ρ l − ρ g )H(Φ ) , (5)with H, Heavisi<strong>de</strong> function, <strong>de</strong>fined as following :⎧⎨ 0 if Φ < 01H(Φ ) =⎩2 if Φ = 01 if Φ > 0(6)Unverdi and Tryggvason [44] have used this methodfor 2D and 3D bubble foam advection. A methodhas been proposed by Smereka [52], in or<strong>de</strong>r tosmooth the Φ discontinuity at the interface. As amatter of fact, this method is hardly usable in caseof great <strong>de</strong>nsity gradients, because of the front diffusion.• The bubble tracking method [51] is an attemptto link the so-called interface tracking mo<strong>de</strong>ls(which may be used for inclusions bigger than thecomputational cells) to the two-fluid mo<strong>de</strong>ls, whichare well adapted to inclusions far smaller than themesh cells. The mo<strong>de</strong>l is a Eulerian-Lagrangianmo<strong>de</strong>l, consi<strong>de</strong>ring liquid as continuous phase. Themajor concept of the method is the ratio d ∗ = d∆x (dis the bubble diameter and ∆ x the computationalcell size). The aim of the mo<strong>de</strong>l is to solve flowdynamics for 0 < d ∗ < 2 and d ∗ > 2. The massand momentum equations are solved for each phase,consi<strong>de</strong>ring no mass transfer. For the continuousliquid phase, slip between the phases, transverselift force and interfacial drag force are not takenin account for d ∗ > 2. The equations for the dispersedvapour phase are written for each bubble,and the bubble shape is <strong>de</strong>termined via graphicalcorrelations <strong>de</strong>pending on three dimension<strong>les</strong>s numbers(Eötvös, Morton and Reynolds numbers) [53].The bubble geometry is used to calculate the voidfraction in each computational cell. This methodis clearly not adapted to <strong>Diesel</strong> engine nozzle flowmo<strong>de</strong>lling, because of the bubble <strong>de</strong>formation dueto the shear stress. Moreover, the equations usedfor each vapour entity are likely to lead to a prohibitivecomputer time. Neverthe<strong>les</strong>s, this method

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!